The Infosys Information Platform (IIP) is an open source data analytics platform that enables businesses to operationalize their data assets and uncover new opportunities for rapid innovation and growth.
At Infosys, we've embraced the ‘design thinking’ approach, a method used to improve the creative confidence of individuals, teams, and organizations, especially when they are pursuing innovation in an area of great opportunity that is complicated by significant ambiguity.
The design thinking approach provides tools to help release the shackles around one’s imagination, and encourages conviction by moving quickly in small steps, learning from failure, and building on success.
When a person or a team has creative confidence, they will not only be able to fully leverage their domain knowledge, they can also articulate a vision, engage rapidly with stakeholders, make quick decisions, and succeed in new opportunities without being discouraged by early failures.
We leverage the design thinking approach for all opportunities we pursue with IIP and in the design of the platform itself.
IIP is an end-to-end data platform that leverages open source innovations and internal enhancements to seamlessly integrate into enterprise landscapes in a way that it can operate as a standalone big data solution or as an add-on to existing proprietary tools. Features of the platform include:
IIP features a data science workbench that supports self-service exploratory analysis and out-of-box integration with open-source projects such as R (a free software environment for statistical computing and graphics) and third-party business intelligence tools.
The workbench allows data scientists to build mathematical and statistical models; build machine learning algorithms; and use predictive and prescriptive analytics to unlock the value in the data assets.
IIP is built to meet enterprise requirements for security, governance, and high availability. We secure your data through authentication, authorization, and role-based access. In addition, provisions for management of metadata, auditing and tracking data lineage across the data lake are also available.
Pre-packaged solutions are available across various industry sectors, including banking, insurance, retail, pharmaceutical, mining, and manufacturing. Business scenarios addressed by the solutions include:
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